StratifiedSampling
Different Methods for Stratified Sampling
Integrating a stratified structure in the population in a sampling design can considerably reduce the variance of the Horvitz-Thompson estimator. We propose in this package different methods to handle the selection of a balanced sample in stratified population. For more details see Raphaël Jauslin, Esther Eustache and Yves Tillé (2021) doi:10.1007/s42081-021-00134-y. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé doi:10.1016/j.jspi.2022.12.003.
- Version0.4.2
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release01/31/2025
Documentation
Team
Raphael Jauslin
MaintainerShow author detailsBardia Panahbehagh
Yves Tillé
Esther Eustache
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 212 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 1,478 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Feb 05, 2025 with 43 downloads.
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Dependencies
- Depends1 package
- Imports6 packages
- Suggests12 packages
- Linking To2 packages